Home ›
Entities
› academia
› Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors
Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors
Research article (The Science of The Total Environment, 2024) · cited 21× · AI/ML
Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors
Summary
Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors is a scholarly article[1].
Key Facts
Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors. Retrieved May 24, 2026, from https://4ort.xyz/entity/pre-training-enhanced-spatio-temporal-graph-neural-network-for-predicting-influent-water-quality-and-flow-rate-of-wastew
MLA“Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pre-training-enhanced-spatio-temporal-graph-neural-network-for-predicting-influent-water-quality-and-flow-rate-of-wastew.
BibTeX@misc{4ortxyz_pre-training-enhanced-spatio-temporal-graph-neural-network-for-predicting-influent-water-quality-and-flow-rate-of-wastew_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors}}, year = {2026}, url = {https://4ort.xyz/entity/pre-training-enhanced-spatio-temporal-graph-neural-network-for-predicting-influent-water-quality-and-flow-rate-of-wastew}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors — https://4ort.xyz/entity/pre-training-enhanced-spatio-temporal-graph-neural-network-for-predicting-influent-water-quality-and-flow-rate-of-wastew (retrieved 2026-05-24)